Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric25

Alerts

water_supply is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Total_Population is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Households is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Population_per_Households is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Male_Population is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Female_Population is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Num_of_Business is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Business_above_100 is highly overall correlated with water_supply and 14 other fieldsHigh correlation
annual_household_income is highly overall correlated with water_supply and 13 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with water_supply and 14 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with Households and 6 other fieldsHigh correlation
personal_expense is highly overall correlated with water_supply and 12 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
employment_ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Average_Temp is highly overall correlated with Monthly_Rainfall and 3 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Average_Temp and 1 other fieldsHigh correlation
Ground_Temp is highly overall correlated with Average_Temp and 2 other fieldsHigh correlation
Average_Pressure is highly overall correlated with Average_Temp and 2 other fieldsHigh correlation
water_supply has unique valuesUnique
Households has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Population has unique valuesUnique
Female_Population has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
Num_of_Business has unique valuesUnique
employment_ratio has unique valuesUnique
employment_insurance_ratio has unique valuesUnique
Average_Temp has 3 (2.1%) zerosZeros

Reproduction

Analysis started2023-09-01 01:39:11.984106
Analysis finished2023-09-01 01:39:58.590715
Duration46.61 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean566194.88
Minimum410012.84
Maximum658176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:39:58.642745image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum410012.84
5-th percentile521631.1
Q1547010.61
median561579.26
Q3584896.97
95-th percentile620724.23
Maximum658176
Range248163.16
Interquartile range (IQR)37886.355

Descriptive statistics

Standard deviation32594.899
Coefficient of variation (CV)0.057568339
Kurtosis3.3222376
Mean566194.88
Median Absolute Deviation (MAD)16740.037
Skewness-0.27281229
Sum81532063
Variance1.0624274 × 109
MonotonicityNot monotonic
2023-09-01T10:39:58.722440image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
558773.4839 1
 
0.7%
524910.5 1
 
0.7%
571672.1 1
 
0.7%
558633 1
 
0.7%
572280 1
 
0.7%
576720.7742 1
 
0.7%
578494.4516 1
 
0.7%
596934.2857 1
 
0.7%
550557.1613 1
 
0.7%
556041.6 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
410012.8387 1
0.7%
488252.0968 1
0.7%
506757.6129 1
0.7%
517523.4516 1
0.7%
520596.2 1
0.7%
520601.7667 1
0.7%
520693.7667 1
0.7%
521498.871 1
0.7%
522380.3871 1
0.7%
523012 1
0.7%
ValueCountFrequency (%)
658176 1
0.7%
647477.0333 1
0.7%
636916.4194 1
0.7%
636857.6774 1
0.7%
636648.8387 1
0.7%
634802.1613 1
0.7%
624893.7419 1
0.7%
620880.6 1
0.7%
619838.1333 1
0.7%
619792.6774 1
0.7%

Total_Population
Real number (ℝ)

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1503579
Minimum1452251
Maximum1536349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:39:58.800758image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1452251
5-th percentile1457229.7
Q11486853.2
median1509309.5
Q31522994.5
95-th percentile1534861.1
Maximum1536349
Range84098
Interquartile range (IQR)36141.25

Descriptive statistics

Standard deviation23963.875
Coefficient of variation (CV)0.015937888
Kurtosis-0.80865546
Mean1503579
Median Absolute Deviation (MAD)18039
Skewness-0.54605626
Sum2.1651538 × 108
Variance5.7426729 × 108
MonotonicityNot monotonic
2023-09-01T10:39:58.870184image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1513877 2
 
1.4%
1484849 1
 
0.7%
1488725 1
 
0.7%
1505829 1
 
0.7%
1504307 1
 
0.7%
1502227 1
 
0.7%
1501378 1
 
0.7%
1499187 1
 
0.7%
1497572 1
 
0.7%
1496123 1
 
0.7%
Other values (133) 133
92.4%
ValueCountFrequency (%)
1452251 1
0.7%
1453675 1
0.7%
1454228 1
0.7%
1454679 1
0.7%
1455058 1
0.7%
1455300 1
0.7%
1456107 1
0.7%
1457161 1
0.7%
1457619 1
0.7%
1458463 1
0.7%
ValueCountFrequency (%)
1536349 1
0.7%
1536286 1
0.7%
1535815 1
0.7%
1535701 1
0.7%
1535415 1
0.7%
1535367 1
0.7%
1535028 1
0.7%
1534954 1
0.7%
1534335 1
0.7%
1534041 1
0.7%

Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean601146.22
Minimum538866
Maximum664417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:39:58.941348image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum538866
5-th percentile543931.25
Q1576123.5
median597268.5
Q3625249.5
95-th percentile656925
Maximum664417
Range125551
Interquartile range (IQR)49126

Descriptive statistics

Standard deviation32888.508
Coefficient of variation (CV)0.054709666
Kurtosis-0.78979061
Mean601146.22
Median Absolute Deviation (MAD)24150
Skewness0.094833485
Sum86565055
Variance1.081654 × 109
MonotonicityNot monotonic
2023-09-01T10:39:59.016570image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
538866 1
 
0.7%
539689 1
 
0.7%
613372 1
 
0.7%
613864 1
 
0.7%
614201 1
 
0.7%
614639 1
 
0.7%
615642 1
 
0.7%
616462 1
 
0.7%
617219 1
 
0.7%
617757 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
538866 1
0.7%
539689 1
0.7%
540978 1
0.7%
541598 1
0.7%
542177 1
0.7%
542390 1
0.7%
542997 1
0.7%
543836 1
0.7%
544471 1
0.7%
554760 1
0.7%
ValueCountFrequency (%)
664417 1
0.7%
663621 1
0.7%
662615 1
0.7%
661948 1
0.7%
659978 1
0.7%
658831 1
0.7%
657781 1
0.7%
657087 1
0.7%
656007 1
0.7%
655842 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5099393
Minimum2.1857523
Maximum2.7555069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:39:59.089401image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2.1857523
5-th percentile2.2182598
Q12.3824643
median2.5422401
Q32.6479772
95-th percentile2.7398087
Maximum2.7555069
Range0.56975461
Interquartile range (IQR)0.26551291

Descriptive statistics

Standard deviation0.16274879
Coefficient of variation (CV)0.064841724
Kurtosis-0.98987852
Mean2.5099393
Median Absolute Deviation (MAD)0.12094307
Skewness-0.41895595
Sum361.43126
Variance0.026487169
MonotonicityStrictly decreasing
2023-09-01T10:39:59.160281image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.755506935 1
 
0.7%
2.753104103 1
 
0.7%
2.456488069 1
 
0.7%
2.453033571 1
 
0.7%
2.449209624 1
 
0.7%
2.444080184 1
 
0.7%
2.438719256 1
 
0.7%
2.431921189 1
 
0.7%
2.426321938 1
 
0.7%
2.421863289 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
2.185752321 1
0.7%
2.19051989 1
0.7%
2.194680169 1
0.7%
2.198145474 1
0.7%
2.204132562 1
0.7%
2.208912453 1
0.7%
2.213665338 1
0.7%
2.21760741 1
0.7%
2.221956473 1
0.7%
2.225994969 1
0.7%
ValueCountFrequency (%)
2.755506935 1
0.7%
2.753104103 1
0.7%
2.748581273 1
0.7%
2.746069963 1
0.7%
2.744463524 1
0.7%
2.743693652 1
0.7%
2.742020674 1
0.7%
2.740066858 1
0.7%
2.738346028 1
0.7%
2.708335136 1
0.7%

Male_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean752050.18
Minimum724626
Maximum768832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:39:59.235153image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum724626
5-th percentile727315.45
Q1743779
median755577.5
Q3762652.75
95-th percentile768098.35
Maximum768832
Range44206
Interquartile range (IQR)18873.75

Descriptive statistics

Standard deviation12707.996
Coefficient of variation (CV)0.016897803
Kurtosis-0.77835164
Mean752050.18
Median Absolute Deviation (MAD)9288.5
Skewness-0.58913834
Sum1.0829523 × 108
Variance1.6149316 × 108
MonotonicityNot monotonic
2023-09-01T10:39:59.305959image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
743563 1
 
0.7%
744063 1
 
0.7%
753133 1
 
0.7%
752671 1
 
0.7%
752025 1
 
0.7%
750969 1
 
0.7%
750415 1
 
0.7%
749331 1
 
0.7%
748488 1
 
0.7%
747775 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
724626 1
0.7%
725406 1
0.7%
725742 1
0.7%
725956 1
0.7%
726142 1
0.7%
726281 1
0.7%
726666 1
0.7%
727279 1
0.7%
727522 1
0.7%
728075 1
0.7%
ValueCountFrequency (%)
768832 1
0.7%
768825 1
0.7%
768522 1
0.7%
768485 1
0.7%
768425 1
0.7%
768423 1
0.7%
768343 1
0.7%
768106 1
0.7%
768055 1
0.7%
767665 1
0.7%

Female_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean751528.87
Minimum727625
Maximum767517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:39:59.377812image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum727625
5-th percentile729914.25
Q1742868.75
median753916
Q3760522.25
95-th percentile766595.1
Maximum767517
Range39892
Interquartile range (IQR)17653.5

Descriptive statistics

Standard deviation11294.294
Coefficient of variation (CV)0.015028424
Kurtosis-0.85575617
Mean751528.87
Median Absolute Deviation (MAD)8700.5
Skewness-0.49208981
Sum1.0822016 × 108
Variance1.2756108 × 108
MonotonicityNot monotonic
2023-09-01T10:40:00.010654image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
741286 1
 
0.7%
741757 1
 
0.7%
753608 1
 
0.7%
753158 1
 
0.7%
752282 1
 
0.7%
751258 1
 
0.7%
750963 1
 
0.7%
749856 1
 
0.7%
749084 1
 
0.7%
748348 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
727625 1
0.7%
728269 1
0.7%
728486 1
0.7%
728723 1
0.7%
728916 1
0.7%
729019 1
0.7%
729441 1
0.7%
729882 1
0.7%
730097 1
0.7%
730388 1
0.7%
ValueCountFrequency (%)
767517 1
0.7%
767461 1
0.7%
767330 1
0.7%
767179 1
0.7%
766992 1
0.7%
766942 1
0.7%
766922 1
0.7%
766611 1
0.7%
766505 1
0.7%
766280 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.000667
Minimum0.99587837
Maximum1.0050872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:00.091620image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.99587837
5-th percentile0.99628742
Q10.99837185
median1.0008529
Q31.003115
95-th percentile1.0047134
Maximum1.0050872
Range0.0092088263
Interquartile range (IQR)0.0047431525

Descriptive statistics

Standard deviation0.0026247322
Coefficient of variation (CV)0.0026229826
Kurtosis-1.1599512
Mean1.000667
Median Absolute Deviation (MAD)0.0022859869
Skewness-0.13557684
Sum144.09605
Variance6.889219 × 10-6
MonotonicityNot monotonic
2023-09-01T10:40:00.167989image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.003071689 1
 
0.7%
1.003108835 1
 
0.7%
0.9993696988 1
 
0.7%
0.9993533893 1
 
0.7%
0.9996583728 1
 
0.7%
0.9996153119 1
 
0.7%
0.9992702703 1
 
0.7%
0.9992998656 1
 
0.7%
0.9992043616 1
 
0.7%
0.9992343134 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.9958783714 1
0.7%
0.9960687603 1
0.7%
0.9961943489 1
0.7%
0.996195717 1
0.7%
0.9962029468 1
0.7%
0.9962332838 1
0.7%
0.996244268 1
0.7%
0.9962616108 1
0.7%
0.9964336701 1
0.7%
0.9964730714 1
0.7%
ValueCountFrequency (%)
1.005087198 1
0.7%
1.005022552 1
0.7%
1.004866235 1
0.7%
1.004842563 1
0.7%
1.004831927 1
0.7%
1.004803426 1
0.7%
1.004766705 1
0.7%
1.00471345 1
0.7%
1.004713434 1
0.7%
1.00458922 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct69
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.182639
Minimum8.4
Maximum15.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:00.241800image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile8.6
Q19.4
median10.9
Q312.7
95-th percentile14.785
Maximum15.2
Range6.8
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.9989273
Coefficient of variation (CV)0.17875274
Kurtosis-1.0086186
Mean11.182639
Median Absolute Deviation (MAD)1.6
Skewness0.40967657
Sum1610.3
Variance3.9957105
MonotonicityNot monotonic
2023-09-01T10:40:00.314876image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.7 6
 
4.2%
8.6 5
 
3.5%
8.9 4
 
2.8%
9.3 4
 
2.8%
8.5 3
 
2.1%
9.7 3
 
2.1%
10.6 3
 
2.1%
11 3
 
2.1%
11.1 3
 
2.1%
10.2 3
 
2.1%
Other values (59) 107
74.3%
ValueCountFrequency (%)
8.4 2
 
1.4%
8.5 3
2.1%
8.6 5
3.5%
8.7 6
4.2%
8.8 3
2.1%
8.9 4
2.8%
9 2
 
1.4%
9.1 3
2.1%
9.2 3
2.1%
9.3 4
2.8%
ValueCountFrequency (%)
15.2 2
1.4%
15.1 1
0.7%
15 2
1.4%
14.9 1
0.7%
14.8 2
1.4%
14.7 1
0.7%
14.6 2
1.4%
14.5 1
0.7%
14.4 1
0.7%
14.3 1
0.7%

Power_usage
Real number (ℝ)

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7513535 × 108
Minimum6.64428 × 108
Maximum9.7993194 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:00.392063image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum6.64428 × 108
5-th percentile6.8564441 × 108
Q17.2494782 × 108
median7.6167038 × 108
Q38.2053707 × 108
95-th percentile8.8861184 × 108
Maximum9.7993194 × 108
Range3.1550394 × 108
Interquartile range (IQR)95589255

Descriptive statistics

Standard deviation64598929
Coefficient of variation (CV)0.083338902
Kurtosis0.0023327081
Mean7.7513535 × 108
Median Absolute Deviation (MAD)45547380
Skewness0.58359553
Sum1.1161949 × 1011
Variance4.1730216 × 1015
MonotonicityNot monotonic
2023-09-01T10:40:00.467423image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
826373000 1
 
0.7%
778458000 1
 
0.7%
787503108 1
 
0.7%
680663080 1
 
0.7%
730893670 1
 
0.7%
835786784 1
 
0.7%
905301903 1
 
0.7%
885431944 1
 
0.7%
784246981 1
 
0.7%
752264410 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
664428000 1
0.7%
664620000 1
0.7%
668362000 1
0.7%
673068000 1
0.7%
680663080 1
0.7%
684218000 1
0.7%
685169000 1
0.7%
685456898 1
0.7%
686707000 1
0.7%
689589000 1
0.7%
ValueCountFrequency (%)
979931944 1
0.7%
965781582 1
0.7%
912803676 1
0.7%
907681607 1
0.7%
905301903 1
0.7%
898970365 1
0.7%
895487725 1
0.7%
889173000 1
0.7%
885431944 1
0.7%
884589905 1
0.7%

Num_of_Business
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48573.806
Minimum31158
Maximum69167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:00.552830image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum31158
5-th percentile33186.1
Q138882.5
median50986
Q355256.25
95-th percentile66369.5
Maximum69167
Range38009
Interquartile range (IQR)16373.75

Descriptive statistics

Standard deviation10128.117
Coefficient of variation (CV)0.20850986
Kurtosis-0.96892362
Mean48573.806
Median Absolute Deviation (MAD)7415
Skewness-0.010359979
Sum6994628
Variance1.0257876 × 108
MonotonicityNot monotonic
2023-09-01T10:40:00.629090image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31158 1
 
0.7%
32055 1
 
0.7%
52657 1
 
0.7%
51800 1
 
0.7%
52022 1
 
0.7%
53232 1
 
0.7%
52930 1
 
0.7%
51639 1
 
0.7%
52969 1
 
0.7%
53631 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
31158 1
0.7%
32055 1
0.7%
32192 1
0.7%
32403 1
0.7%
32460 1
0.7%
32565 1
0.7%
32766 1
0.7%
33127 1
0.7%
33521 1
0.7%
33697 1
0.7%
ValueCountFrequency (%)
69167 1
0.7%
68820 1
0.7%
68521 1
0.7%
68244 1
0.7%
67129 1
0.7%
66959 1
0.7%
66765 1
0.7%
66551 1
0.7%
65341 1
0.7%
64758 1
0.7%

Business_above_100
Real number (ℝ)

Distinct83
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.45139
Minimum356
Maximum503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:00.711513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum356
5-th percentile371
Q1410.75
median435.5
Q3457.5
95-th percentile498.7
Maximum503
Range147
Interquartile range (IQR)46.75

Descriptive statistics

Standard deviation35.319487
Coefficient of variation (CV)0.081296752
Kurtosis-0.3918645
Mean434.45139
Median Absolute Deviation (MAD)24.5
Skewness-0.0027903942
Sum62561
Variance1247.4662
MonotonicityNot monotonic
2023-09-01T10:40:00.786414image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445 5
 
3.5%
448 5
 
3.5%
422 4
 
2.8%
436 4
 
2.8%
472 4
 
2.8%
434 3
 
2.1%
432 3
 
2.1%
427 3
 
2.1%
404 3
 
2.1%
411 3
 
2.1%
Other values (73) 107
74.3%
ValueCountFrequency (%)
356 2
1.4%
361 1
 
0.7%
362 1
 
0.7%
367 3
2.1%
371 2
1.4%
383 2
1.4%
386 1
 
0.7%
387 1
 
0.7%
388 1
 
0.7%
390 2
1.4%
ValueCountFrequency (%)
503 1
 
0.7%
502 3
2.1%
501 2
1.4%
499 2
1.4%
497 1
 
0.7%
496 1
 
0.7%
495 2
1.4%
493 1
 
0.7%
492 2
1.4%
476 1
 
0.7%

complex_area
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70665952
Minimum53197238
Maximum73034588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:00.856905image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum53197238
5-th percentile70421650
Q170433623
median70923547
Q371576037
95-th percentile71984733
Maximum73034588
Range19837350
Interquartile range (IQR)1142414

Descriptive statistics

Standard deviation2626827.2
Coefficient of variation (CV)0.03717246
Kurtosis39.522442
Mean70665952
Median Absolute Deviation (MAD)489924
Skewness-6.1862313
Sum1.0175897 × 1010
Variance6.9002213 × 1012
MonotonicityNot monotonic
2023-09-01T10:40:00.921090image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
70923547 19
13.2%
70433623 16
11.1%
71576037 15
10.4%
71673260 14
9.7%
70421651 11
 
7.6%
70423280 10
 
6.9%
70954624 8
 
5.6%
73034588 6
 
4.2%
70923624 6
 
4.2%
70923429 6
 
4.2%
Other values (12) 33
22.9%
ValueCountFrequency (%)
53197238 2
 
1.4%
53270030 1
 
0.7%
70418480 2
 
1.4%
70421480 1
 
0.7%
70421650 2
 
1.4%
70421651 11
7.6%
70423280 10
6.9%
70423588 3
 
2.1%
70433623 16
11.1%
70923409 2
 
1.4%
ValueCountFrequency (%)
73034588 6
 
4.2%
71984733 3
 
2.1%
71673260 14
9.7%
71576037 15
10.4%
71292620 5
 
3.5%
70958238 4
 
2.8%
70954624 8
5.6%
70928564 5
 
3.5%
70923624 6
 
4.2%
70923603 3
 
2.1%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1135.8333
Minimum868
Maximum1496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:00.985757image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum868
5-th percentile868
Q1973.5
median1074
Q31293.25
95-th percentile1496
Maximum1496
Range628
Interquartile range (IQR)319.75

Descriptive statistics

Standard deviation203.0417
Coefficient of variation (CV)0.17876011
Kurtosis-1.1328615
Mean1135.8333
Median Absolute Deviation (MAD)146.5
Skewness0.46169706
Sum163560
Variance41225.93
MonotonicityNot monotonic
2023-09-01T10:40:01.036698image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
868 12
8.3%
917 12
8.3%
997 12
8.3%
1067 12
8.3%
963 12
8.3%
977 12
8.3%
1081 12
8.3%
1210 12
8.3%
1284 12
8.3%
1321 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
868 12
8.3%
917 12
8.3%
963 12
8.3%
977 12
8.3%
997 12
8.3%
1067 12
8.3%
1081 12
8.3%
1210 12
8.3%
1284 12
8.3%
1321 12
8.3%
ValueCountFrequency (%)
1496 12
8.3%
1449 12
8.3%
1321 12
8.3%
1284 12
8.3%
1210 12
8.3%
1081 12
8.3%
1067 12
8.3%
997 12
8.3%
977 12
8.3%
963 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19218.5
Minimum13906
Maximum21369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:01.094140image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum13906
5-th percentile13906
Q118332.75
median20158
Q320890.75
95-th percentile21369
Maximum21369
Range7463
Interquartile range (IQR)2558

Descriptive statistics

Standard deviation2198.1379
Coefficient of variation (CV)0.11437614
Kurtosis0.55711887
Mean19218.5
Median Absolute Deviation (MAD)810.5
Skewness-1.2709155
Sum2767464
Variance4831810.3
MonotonicityNot monotonic
2023-09-01T10:40:01.151326image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20890 12
8.3%
21369 12
8.3%
20899 12
8.3%
20566 12
8.3%
20893 12
8.3%
20434 12
8.3%
19882 12
8.3%
19278 12
8.3%
18200 12
8.3%
18377 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
13906 12
8.3%
15928 12
8.3%
18200 12
8.3%
18377 12
8.3%
19278 12
8.3%
19882 12
8.3%
20434 12
8.3%
20566 12
8.3%
20890 12
8.3%
20893 12
8.3%
ValueCountFrequency (%)
21369 12
8.3%
20899 12
8.3%
20893 12
8.3%
20890 12
8.3%
20566 12
8.3%
20434 12
8.3%
19882 12
8.3%
19278 12
8.3%
18377 12
8.3%
18200 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.94539292
Minimum0.88596907
Maximum1.0519778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:01.215389image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.88596907
5-th percentile0.88596907
Q10.90775137
median0.93259164
Q30.96911855
95-th percentile1.0519778
Maximum1.0519778
Range0.16600872
Interquartile range (IQR)0.061367187

Descriptive statistics

Standard deviation0.051834876
Coefficient of variation (CV)0.054828923
Kurtosis-0.35243352
Mean0.94539292
Median Absolute Deviation (MAD)0.032911064
Skewness0.91483799
Sum136.13658
Variance0.0026868544
MonotonicityNot monotonic
2023-09-01T10:40:01.275097image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.8968744633 12
8.3%
0.9416975145 12
8.3%
0.8992298094 12
8.3%
0.8859690691 12
8.3%
0.9298175345 12
8.3%
0.935365742 12
8.3%
0.9650519367 12
8.3%
0.9813184016 12
8.3%
0.9105918847 12
8.3%
1.051977789 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.8859690691 12
8.3%
0.8968744633 12
8.3%
0.8992298094 12
8.3%
0.9105918847 12
8.3%
0.9108534748 12
8.3%
0.9298175345 12
8.3%
0.935365742 12
8.3%
0.9416975145 12
8.3%
0.9650519367 12
8.3%
0.9813184016 12
8.3%
ValueCountFrequency (%)
1.051977789 12
8.3%
1.03596748 12
8.3%
0.9813184016 12
8.3%
0.9650519367 12
8.3%
0.9416975145 12
8.3%
0.935365742 12
8.3%
0.9298175345 12
8.3%
0.9108534748 12
8.3%
0.9105918847 12
8.3%
0.8992298094 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1603217 × 108
Minimum2.9900784 × 108
Maximum5.1317679 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:01.340822image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2.9900784 × 108
5-th percentile2.9900784 × 108
Q13.8763455 × 108
median4.0938201 × 108
Q34.4936211 × 108
95-th percentile5.1317679 × 108
Maximum5.1317679 × 108
Range2.1416895 × 108
Interquartile range (IQR)61727553

Descriptive statistics

Standard deviation59430304
Coefficient of variation (CV)0.14285026
Kurtosis-0.46303573
Mean4.1603217 × 108
Median Absolute Deviation (MAD)31213282
Skewness-0.063430645
Sum5.9908632 × 1010
Variance3.531961 × 1015
MonotonicityNot monotonic
2023-09-01T10:40:01.403736image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
299007845 12
8.3%
349665283 12
8.3%
378259971 12
8.3%
396906103 12
8.3%
402335232 12
8.3%
425965947 12
8.3%
390759413 12
8.3%
416428782 12
8.3%
440686535 12
8.3%
475388816 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
299007845 12
8.3%
349665283 12
8.3%
378259971 12
8.3%
390759413 12
8.3%
396906103 12
8.3%
402335232 12
8.3%
416428782 12
8.3%
425965947 12
8.3%
440686535 12
8.3%
475388816 12
8.3%
ValueCountFrequency (%)
513176792 12
8.3%
503805277 12
8.3%
475388816 12
8.3%
440686535 12
8.3%
425965947 12
8.3%
416428782 12
8.3%
402335232 12
8.3%
396906103 12
8.3%
390759413 12
8.3%
378259971 12
8.3%
Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.218056
Minimum64.083333
Maximum74.316667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:01.459296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum64.083333
5-th percentile64.083333
Q166.804167
median70.033333
Q371.4375
95-th percentile74.316667
Maximum74.316667
Range10.233333
Interquartile range (IQR)4.6333333

Descriptive statistics

Standard deviation3.0109006
Coefficient of variation (CV)0.043498775
Kurtosis-1.0291597
Mean69.218056
Median Absolute Deviation (MAD)1.9666667
Skewness-0.19578528
Sum9967.4
Variance9.0655225
MonotonicityNot monotonic
2023-09-01T10:40:01.519554image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
70.68333333 12
8.3%
67.2 12
8.3%
65.36666667 12
8.3%
65.61666667 12
8.3%
68.11666667 12
8.3%
71.31666667 12
8.3%
72.05 12
8.3%
71.8 12
8.3%
74.31666667 12
8.3%
69.95 12
8.3%
Other values (3) 24
16.7%
ValueCountFrequency (%)
64.08333333 1
 
0.7%
64.08333333 11
7.6%
65.36666667 12
8.3%
65.61666667 12
8.3%
67.2 12
8.3%
68.11666667 12
8.3%
69.95 12
8.3%
70.11666667 12
8.3%
70.68333333 12
8.3%
71.31666667 12
8.3%
ValueCountFrequency (%)
74.31666667 12
8.3%
72.05 12
8.3%
71.8 12
8.3%
71.31666667 12
8.3%
70.68333333 12
8.3%
70.11666667 12
8.3%
69.95 12
8.3%
68.11666667 12
8.3%
67.2 12
8.3%
65.61666667 12
8.3%

employment_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334491.28
Minimum234127
Maximum413117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:01.587801image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum234127
5-th percentile249287.05
Q1301729.5
median335986.5
Q3372270.5
95-th percentile406403.2
Maximum413117
Range178990
Interquartile range (IQR)70541

Descriptive statistics

Standard deviation46208.855
Coefficient of variation (CV)0.13814666
Kurtosis-0.7288985
Mean334491.28
Median Absolute Deviation (MAD)35237.5
Skewness-0.16243698
Sum48166745
Variance2.1352583 × 109
MonotonicityNot monotonic
2023-09-01T10:40:01.662794image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
234127 1
 
0.7%
236853 1
 
0.7%
351630 1
 
0.7%
353555 1
 
0.7%
354745 1
 
0.7%
353530 1
 
0.7%
350521 1
 
0.7%
353171 1
 
0.7%
354647 1
 
0.7%
358309 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
234127 1
0.7%
236853 1
0.7%
241134 1
0.7%
244446 1
0.7%
247291 1
0.7%
247810 1
0.7%
248510 1
0.7%
248950 1
0.7%
251197 1
0.7%
251829 1
0.7%
ValueCountFrequency (%)
413117 1
0.7%
412409 1
0.7%
410827 1
0.7%
410163 1
0.7%
408639 1
0.7%
408338 1
0.7%
407760 1
0.7%
406543 1
0.7%
405611 1
0.7%
404056 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22281507
Minimum0.15767731
Maximum0.28418801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:01.738692image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.15767731
5-th percentile0.16696778
Q10.19783643
median0.22112544
Q30.2501502
95-th percentile0.27851127
Maximum0.28418801
Range0.12651069
Interquartile range (IQR)0.05231377

Descriptive statistics

Standard deviation0.033387353
Coefficient of variation (CV)0.14984333
Kurtosis-0.88673432
Mean0.22281507
Median Absolute Deviation (MAD)0.025135396
Skewness0.11435567
Sum32.085371
Variance0.0011147154
MonotonicityNot monotonic
2023-09-01T10:40:01.817294image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1576773126 1
 
0.7%
0.1594089459 1
 
0.7%
0.2333712297 1
 
0.7%
0.2347909358 1
 
0.7%
0.2358195501 1
 
0.7%
0.2353372693 1
 
0.7%
0.2334661891 1
 
0.7%
0.235575015 1
 
0.7%
0.2368146573 1
 
0.7%
0.2394916728 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.1576773126 1
0.7%
0.1594089459 1
0.7%
0.1621699053 1
0.7%
0.1643593009 1
0.7%
0.1661918635 1
0.7%
0.1665219682 1
0.7%
0.166907447 1
0.7%
0.1669507921 1
0.7%
0.1670640548 1
0.7%
0.1682456985 1
0.7%
ValueCountFrequency (%)
0.2841880063 1
0.7%
0.2835930817 1
0.7%
0.2818877323 1
0.7%
0.2813831769 1
0.7%
0.2803092641 1
0.7%
0.2802571538 1
0.7%
0.2793533979 1
0.7%
0.2785585125 1
0.7%
0.278243556 1
0.7%
0.2765809681 1
0.7%

Average_Temp
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct115
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.432639
Minimum-5.7
Maximum29
Zeros3
Zeros (%)2.1%
Negative14
Negative (%)9.7%
Memory size6.3 KiB
2023-09-01T10:40:01.896963image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-5.7
5-th percentile-1.255
Q14.375
median14.25
Q322.525
95-th percentile27.1
Maximum29
Range34.7
Interquartile range (IQR)18.15

Descriptive statistics

Standard deviation9.8127777
Coefficient of variation (CV)0.73051749
Kurtosis-1.339662
Mean13.432639
Median Absolute Deviation (MAD)8.6
Skewness-0.12480889
Sum1934.3
Variance96.290606
MonotonicityNot monotonic
2023-09-01T10:40:01.973437image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.2 3
 
2.1%
0 3
 
2.1%
27.1 3
 
2.1%
25.8 3
 
2.1%
-0.4 3
 
2.1%
8.5 2
 
1.4%
8.7 2
 
1.4%
23.6 2
 
1.4%
27.8 2
 
1.4%
15.5 2
 
1.4%
Other values (105) 119
82.6%
ValueCountFrequency (%)
-5.7 1
 
0.7%
-3 1
 
0.7%
-2.7 1
 
0.7%
-2.6 1
 
0.7%
-2.5 1
 
0.7%
-1.5 1
 
0.7%
-1.3 2
1.4%
-1 2
1.4%
-0.4 3
2.1%
-0.1 1
 
0.7%
ValueCountFrequency (%)
29 1
 
0.7%
27.9 2
1.4%
27.8 2
1.4%
27.5 1
 
0.7%
27.2 1
 
0.7%
27.1 3
2.1%
26.8 1
 
0.7%
26.6 1
 
0.7%
26.4 1
 
0.7%
26.3 1
 
0.7%

Monthly_Rainfall
Real number (ℝ)

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.21458
Minimum1.7
Maximum587.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:02.049924image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile8.95
Q134.9
median66.7
Q3136.575
95-th percentile375.125
Maximum587.3
Range585.6
Interquartile range (IQR)101.675

Descriptive statistics

Standard deviation112.59198
Coefficient of variation (CV)1.0501555
Kurtosis4.3710346
Mean107.21458
Median Absolute Deviation (MAD)42
Skewness2.0357811
Sum15438.9
Variance12676.955
MonotonicityNot monotonic
2023-09-01T10:40:02.121851image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.7 2
 
1.4%
95.2 2
 
1.4%
27 2
 
1.4%
16.4 2
 
1.4%
11.6 2
 
1.4%
62.5 1
 
0.7%
293.8 1
 
0.7%
149.4 1
 
0.7%
408.6 1
 
0.7%
226.9 1
 
0.7%
Other values (129) 129
89.6%
ValueCountFrequency (%)
1.7 1
0.7%
2.5 1
0.7%
3.2 1
0.7%
4 1
0.7%
4.1 1
0.7%
4.4 1
0.7%
6.5 1
0.7%
8.5 1
0.7%
11.5 1
0.7%
11.6 2
1.4%
ValueCountFrequency (%)
587.3 1
0.7%
544.9 1
0.7%
463.6 1
0.7%
434.5 1
0.7%
420.3 1
0.7%
408.6 1
0.7%
391.6 1
0.7%
376.4 1
0.7%
367.9 1
0.7%
361.6 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct37
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.409722
Minimum49
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:02.194962image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile54
Q162
median70
Q376
95-th percentile83
Maximum88
Range39
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.1065282
Coefficient of variation (CV)0.13119961
Kurtosis-0.80159405
Mean69.409722
Median Absolute Deviation (MAD)7
Skewness-0.11320366
Sum9995
Variance82.928856
MonotonicityNot monotonic
2023-09-01T10:40:02.267261image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
76 13
 
9.0%
60 11
 
7.6%
72 9
 
6.2%
68 7
 
4.9%
62 7
 
4.9%
81 7
 
4.9%
70 6
 
4.2%
69 5
 
3.5%
67 5
 
3.5%
77 5
 
3.5%
Other values (27) 69
47.9%
ValueCountFrequency (%)
49 1
 
0.7%
51 2
 
1.4%
52 1
 
0.7%
53 2
 
1.4%
54 3
 
2.1%
55 2
 
1.4%
56 2
 
1.4%
57 2
 
1.4%
58 3
 
2.1%
60 11
7.6%
ValueCountFrequency (%)
88 1
 
0.7%
87 3
2.1%
85 1
 
0.7%
84 1
 
0.7%
83 3
2.1%
82 2
 
1.4%
81 7
4.9%
80 3
2.1%
79 5
3.5%
78 4
2.8%

Ground_Temp
Real number (ℝ)

Distinct114
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.504167
Minimum-2.3
Maximum35.1
Zeros1
Zeros (%)0.7%
Negative8
Negative (%)5.6%
Memory size6.3 KiB
2023-09-01T10:40:02.349759image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-2.3
5-th percentile-0.17
Q15.425
median16.45
Q325.525
95-th percentile29.885
Maximum35.1
Range37.4
Interquartile range (IQR)20.1

Descriptive statistics

Standard deviation10.821068
Coefficient of variation (CV)0.69794578
Kurtosis-1.4206452
Mean15.504167
Median Absolute Deviation (MAD)9.75
Skewness-0.064472099
Sum2232.6
Variance117.09551
MonotonicityNot monotonic
2023-09-01T10:40:02.424095image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.4 4
 
2.8%
-0.7 3
 
2.1%
0.5 3
 
2.1%
24.1 2
 
1.4%
2.7 2
 
1.4%
21.4 2
 
1.4%
29.1 2
 
1.4%
9.4 2
 
1.4%
24.4 2
 
1.4%
29.8 2
 
1.4%
Other values (104) 120
83.3%
ValueCountFrequency (%)
-2.3 1
 
0.7%
-0.7 3
2.1%
-0.5 1
 
0.7%
-0.4 1
 
0.7%
-0.3 1
 
0.7%
-0.2 1
 
0.7%
0 1
 
0.7%
0.1 1
 
0.7%
0.2 1
 
0.7%
0.5 3
2.1%
ValueCountFrequency (%)
35.1 1
0.7%
33.6 1
0.7%
32.1 1
0.7%
31.1 1
0.7%
31 1
0.7%
30.8 1
0.7%
30.6 1
0.7%
29.9 1
0.7%
29.8 2
1.4%
29.7 1
0.7%

Average_Wind
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5708333
Minimum0.9
Maximum2.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:02.492043image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1.2
Q11.4
median1.5
Q31.7
95-th percentile2.1
Maximum2.4
Range1.5
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.28674079
Coefficient of variation (CV)0.18254055
Kurtosis0.28983711
Mean1.5708333
Median Absolute Deviation (MAD)0.2
Skewness0.60289842
Sum226.2
Variance0.08222028
MonotonicityNot monotonic
2023-09-01T10:40:02.548207image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.6 21
14.6%
1.4 20
13.9%
1.5 19
13.2%
1.3 18
12.5%
1.7 17
11.8%
1.2 12
8.3%
1.8 11
7.6%
1.9 7
 
4.9%
2 5
 
3.5%
2.3 4
 
2.8%
Other values (6) 10
6.9%
ValueCountFrequency (%)
0.9 1
 
0.7%
1 1
 
0.7%
1.1 2
 
1.4%
1.2 12
8.3%
1.3 18
12.5%
1.4 20
13.9%
1.5 19
13.2%
1.6 21
14.6%
1.7 17
11.8%
1.8 11
7.6%
ValueCountFrequency (%)
2.4 1
 
0.7%
2.3 4
 
2.8%
2.2 1
 
0.7%
2.1 4
 
2.8%
2 5
 
3.5%
1.9 7
 
4.9%
1.8 11
7.6%
1.7 17
11.8%
1.6 21
14.6%
1.5 19
13.2%

Average_Pressure
Real number (ℝ)

Distinct102
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1008.5139
Minimum998.2
Maximum1019.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:40:02.625561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum998.2
5-th percentile999
Q11001.95
median1009.65
Q31014.6
95-th percentile1017.585
Maximum1019.3
Range21.1
Interquartile range (IQR)12.65

Descriptive statistics

Standard deviation6.5795786
Coefficient of variation (CV)0.0065240337
Kurtosis-1.4225848
Mean1008.5139
Median Absolute Deviation (MAD)5.9
Skewness-0.098846541
Sum145226
Variance43.290855
MonotonicityNot monotonic
2023-09-01T10:40:02.699679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1016.1 4
 
2.8%
1013.5 4
 
2.8%
1000.8 4
 
2.8%
998.2 3
 
2.1%
1005.3 3
 
2.1%
1000.1 3
 
2.1%
1005.5 3
 
2.1%
1000.2 3
 
2.1%
1005.6 2
 
1.4%
999.4 2
 
1.4%
Other values (92) 113
78.5%
ValueCountFrequency (%)
998.2 3
2.1%
998.3 1
 
0.7%
998.5 1
 
0.7%
998.6 2
1.4%
999 2
1.4%
999.1 1
 
0.7%
999.2 1
 
0.7%
999.3 1
 
0.7%
999.4 2
1.4%
999.5 1
 
0.7%
ValueCountFrequency (%)
1019.3 1
0.7%
1019.1 1
0.7%
1018.7 1
0.7%
1018.5 1
0.7%
1018.1 1
0.7%
1017.8 1
0.7%
1017.7 1
0.7%
1017.6 1
0.7%
1017.5 1
0.7%
1017.2 2
1.4%

Interactions

2023-09-01T10:39:56.785597image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:12.350545image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:14.324706image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:16.211721image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.567362image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.594064image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.503645image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:25.253120image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:26.925174image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.629224image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.768339image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.498480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:34.145144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:35.994867image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.720966image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:39.867888image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:41.556241image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:43.185922image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.752064image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:46.359078image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:47.984082image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:50.243954image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.828904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.544125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:55.189501image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.842731image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:12.461009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:14.393110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:16.299364image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.630591image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.677285image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.587563image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:25.338045image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:26.985643image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.695128image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.836607image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.562797image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:34.213090image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:36.058452image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.783817image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:39.938127image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:41.623231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:43.245262image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.814677image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:46.423100image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:48.538678image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:50.306265image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.889976image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.604152image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:55.249046image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.898005image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:12.541336image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:14.472324image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:16.372960image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.691260image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.760296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.666304image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:25.400300image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:27.043762image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.757910image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.907148image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.624672image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:34.275463image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:36.134551image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.841493image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:39.996345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:41.686618image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:43.304511image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.874122image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:46.485444image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:48.610419image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:50.365396image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.948931image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.666736image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:55.308706image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.953607image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:12.652940image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:14.555496image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:16.476823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.756932image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.847067image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.742953image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:25.466785image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:27.109102image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.824411image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.977679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.690226image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:34.339050image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:36.215936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.903967image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:40.061659image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
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2023-09-01T10:39:42.810291image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.378744image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:45.959882image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:47.605592image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:49.847640image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.448273image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.100852image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:54.793627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.402637image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:57.965617image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:13.963367image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:15.784891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.205679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.168813image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.045629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:24.805173image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:26.619641image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.265227image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.030756image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.148798image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:33.819222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:35.654120image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.405425image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:39.495972image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:41.188097image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:42.876605image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.442998image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:46.024457image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:47.672339image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:49.912912image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.514577image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.173216image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:54.861130image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.469618image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:58.024699image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:14.032456image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:15.854108image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.272079image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.261541image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.202125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:24.887000image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:26.679332image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.331753image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.107521image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.220968image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:33.883134image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:35.720861image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.468372image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:39.557170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:41.265018image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:42.937644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.503306image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:46.093990image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:47.733028image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:49.978297image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.574768image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.243256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:54.928991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.533789image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:58.082853image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:14.120141image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:15.931116image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.358332image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.366757image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.292331image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:24.985898image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:26.743448image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.405806image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.176601image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.295180image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:33.951586image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:35.791790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.534803image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:39.621958image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:41.335082image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:43.004215image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.566231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:46.159399image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:47.798726image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:50.048150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.645313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.333739image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:54.996650image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.601150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:58.143916image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:14.187821image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:16.041747image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.428063image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.442629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.372018image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:25.069377image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:26.805869image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.479701image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.242126image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.363889image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:34.016170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:35.862564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.596094image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:39.684500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:41.411422image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:43.065106image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.630048image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:46.229215image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:47.861856image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:50.112234image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.708262image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.399152image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:55.060090image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.664070image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:58.206097image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:14.256335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:16.133878image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:18.499861image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:20.519276image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:22.442046image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:25.161914image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:26.867730image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:28.566901image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:30.705882image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:32.435489image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:34.085163image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:35.932622image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:37.659827image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:39.802611image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:41.489225image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:43.127683image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:44.692446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:46.298958image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:47.928554image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:50.181810image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:51.772619image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:53.465413image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:55.124005image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:39:56.728927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-09-01T10:40:02.779959image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.000-0.5180.777-0.777-0.546-0.494-0.7840.7770.2810.7540.692-0.1840.757-0.7640.3400.7100.4620.7740.7740.3460.1870.3110.333-0.253-0.249
Total_Population-0.5181.000-0.5900.5900.9980.9980.644-0.590-0.145-0.566-0.644-0.366-0.6150.692-0.329-0.504-0.605-0.588-0.590-0.024-0.0170.055-0.0040.132-0.036
Households0.777-0.5901.000-1.000-0.623-0.554-0.9741.0000.2390.9820.883-0.3100.941-0.9340.5300.9410.5220.9970.9980.077-0.0300.1560.056-0.3610.029
Population_per_Households-0.7770.590-1.0001.0000.6230.5540.974-1.000-0.239-0.982-0.8830.310-0.9410.934-0.530-0.941-0.522-0.997-0.998-0.0770.029-0.156-0.0560.361-0.028
Male_Population-0.5460.998-0.6230.6231.0000.9930.679-0.624-0.153-0.600-0.676-0.336-0.6420.724-0.353-0.534-0.633-0.622-0.624-0.029-0.0140.047-0.0110.148-0.034
Female_Population-0.4940.998-0.5540.5540.9931.0000.608-0.554-0.140-0.531-0.610-0.396-0.5870.660-0.298-0.470-0.573-0.552-0.554-0.024-0.0260.058-0.0030.115-0.032
Male_Female_Ratio-0.7840.644-0.9740.9740.6790.6081.000-0.975-0.222-0.959-0.9150.297-0.9010.956-0.495-0.922-0.583-0.972-0.972-0.0790.017-0.137-0.0610.341-0.030
Population_aging_Ratio0.777-0.5901.000-1.000-0.624-0.554-0.9751.0000.2400.9820.883-0.3100.940-0.9340.5280.9410.5230.9970.9980.078-0.0290.1580.057-0.3610.028
Power_usage0.281-0.1450.239-0.239-0.153-0.140-0.2220.2401.0000.2130.1100.0190.267-0.2470.0990.2360.1300.2030.204-0.157-0.0290.144-0.184-0.1740.187
Num_of_Business0.754-0.5660.982-0.982-0.600-0.531-0.9590.9820.2131.0000.890-0.3100.912-0.9190.5020.9170.5040.9820.9820.087-0.0150.1870.068-0.3700.032
Business_above_1000.692-0.6440.883-0.883-0.676-0.610-0.9150.8830.1100.8901.000-0.2940.784-0.8840.4620.8390.5960.8880.8880.1550.0330.1490.137-0.302-0.044
complex_area-0.184-0.366-0.3100.310-0.336-0.3960.297-0.3100.019-0.310-0.2941.000-0.1460.215-0.126-0.3700.028-0.314-0.313-0.0740.048-0.184-0.0610.2160.029
annual_household_income0.757-0.6150.941-0.941-0.642-0.587-0.9010.9400.2670.9120.784-0.1461.000-0.9090.4060.8600.4550.9340.9350.047-0.0270.1080.028-0.2930.025
High_School_Graduate_num-0.7640.692-0.9340.9340.7240.6600.956-0.934-0.247-0.919-0.8840.215-0.9091.000-0.364-0.874-0.601-0.927-0.929-0.0530.021-0.098-0.0380.293-0.031
High_School_Graduate_ratio0.340-0.3290.530-0.530-0.353-0.298-0.4950.5280.0990.5020.462-0.1260.406-0.3641.0000.4200.5380.5380.5350.033-0.097-0.0450.040-0.2640.031
personal_expense0.710-0.5040.941-0.941-0.534-0.470-0.9220.9410.2360.9170.839-0.3700.860-0.8740.4201.0000.3570.9350.9350.052-0.0440.1310.029-0.3110.028
benefits_vs_personal_expense0.462-0.6050.522-0.522-0.633-0.573-0.5830.5230.1300.5040.5960.0280.455-0.6010.5380.3571.0000.5260.5260.030-0.029-0.0800.048-0.1840.032
employment_ratio0.774-0.5880.997-0.997-0.622-0.552-0.9720.9970.2030.9820.888-0.3140.934-0.9270.5380.9350.5261.0001.0000.092-0.0200.1730.072-0.3750.022
employment_insurance_ratio0.774-0.5900.998-0.998-0.624-0.554-0.9720.9980.2040.9820.888-0.3130.935-0.9290.5350.9350.5261.0001.0000.093-0.0150.1740.073-0.3720.020
Average_Temp0.346-0.0240.077-0.077-0.029-0.024-0.0790.078-0.1570.0870.155-0.0740.047-0.0530.0330.0520.0300.0920.0931.0000.7260.5510.9910.233-0.919
Monthly_Rainfall0.187-0.017-0.0300.029-0.014-0.0260.017-0.029-0.029-0.0150.0330.048-0.0270.021-0.097-0.044-0.029-0.020-0.0150.7261.0000.6120.6890.195-0.698
Average_Relative_Humadity0.3110.0550.156-0.1560.0470.058-0.1370.1580.1440.1870.149-0.1840.108-0.098-0.0450.131-0.0800.1730.1740.5510.6121.0000.495-0.386-0.384
Ground_Temp0.333-0.0040.056-0.056-0.011-0.003-0.0610.057-0.1840.0680.137-0.0610.028-0.0380.0400.0290.0480.0720.0730.9910.6890.4951.0000.264-0.925
Average_Wind-0.2530.132-0.3610.3610.1480.1150.341-0.361-0.174-0.370-0.3020.216-0.2930.293-0.264-0.311-0.184-0.375-0.3720.2330.195-0.3860.2641.000-0.417
Average_Pressure-0.249-0.0360.029-0.028-0.034-0.032-0.0300.0280.1870.032-0.0440.0290.025-0.0310.0310.0280.0320.0220.020-0.919-0.698-0.384-0.925-0.4171.000

Missing values

2023-09-01T10:39:58.308890image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-01T10:39:58.507060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-01558773.4838711484849.0538866.02.755507743563.0741286.01.0030728.4826373000.031158.0394.071673260.0868.020890.00.896874299007845.070.683333234127.00.157677-2.746.467.0-0.71.51016.1
2010-02-01524910.5000001485820.0539689.02.753104744063.0741757.01.0031098.4778458000.032055.0404.071673260.0868.020890.00.896874299007845.070.683333236853.00.1594092.181.563.03.21.71013.1
2010-03-01506757.6129031486922.0540978.02.748581744624.0742298.01.0031348.5716986000.032766.0432.071673260.0868.020890.00.896874299007845.070.683333241134.00.1621705.3100.162.06.82.31012.1
2010-04-01520596.2000001487266.0541598.02.746070744892.0742374.01.0033928.5724076000.034213.0445.071673260.0868.020890.00.896874299007845.070.683333244446.00.16435910.088.555.012.92.31010.1
2010-05-01550550.3870971487985.0542177.02.744464745192.0742793.01.0032308.5664428000.032460.0422.071673260.0868.020890.00.896874299007845.070.683333247291.00.16619217.8117.660.020.62.01003.1
2010-06-01570567.1666671488152.0542390.02.743694745212.0742940.01.0030588.6684218000.033700.0427.071673260.0868.020890.00.896874299007845.070.683333247810.00.16652223.465.662.028.11.81001.8
2010-07-01562395.0645161488909.0542997.02.742021745598.0743311.01.0030778.6748174000.032192.0421.071673260.0868.020890.00.896874299007845.070.683333248510.00.16690725.7223.175.028.01.81000.2
2010-08-01557385.7096771490147.0543836.02.740067746240.0743907.01.0031368.6800784000.033127.0422.071673260.0868.020890.00.896874299007845.070.683333248950.00.16706427.1376.480.029.31.61002.7
2010-09-01538179.8000001490950.0544471.02.738346746663.0744287.01.0031928.6770732000.034050.0423.071673260.0868.020890.00.896874299007845.070.683333251829.00.16890521.9250.577.024.61.51005.7
2010-10-01522380.3870971502476.0554760.02.708335753144.0749332.01.0050878.7668362000.034288.0411.071673260.0868.020890.00.896874299007845.070.683333253522.00.16873614.217.971.017.31.41011.2
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-01636916.4193551458463.0655196.02.225995728075.0730388.00.99683314.6771954921.064758.0492.070954624.01496.013906.00.910853513176792.070.116667399068.00.2736229.695.265.09.71.51011.7
2021-04-01612933.3666671457619.0656007.02.221956727522.0730097.00.99647314.7751324169.065341.0493.070954624.01496.013906.00.910853513176792.070.116667401500.00.27544914.747.455.016.41.91010.3
2021-05-01593728.9677421457161.0657087.02.217607727279.0729882.00.99643414.8708973560.067129.0499.070954624.01496.013906.00.910853513176792.070.116667403023.00.27658117.7134.272.019.81.61001.6
2021-06-01620880.6000001456107.0657781.02.213665726666.0729441.00.99619614.8774709195.068521.0497.070958238.01496.013906.00.910853513176792.070.116667405611.00.27855923.5105.976.025.71.51000.1
2021-07-01619792.6774191455300.0658831.02.208912726281.0729019.00.99624414.9862436988.068820.0495.070958238.01496.013906.00.910853513176792.070.116667406543.00.27935327.8151.879.030.81.61000.5
2021-08-01636857.6774191454679.0659978.02.204133725956.0728723.00.99620315.0965781582.066765.0496.070958238.01496.013906.00.910853513176792.070.116667407760.00.28030925.8289.284.027.71.31001.0
2021-09-01609070.0666671455058.0661948.02.198145726142.0728916.00.99619415.0830846020.066551.0502.070958238.01496.013906.00.910853513176792.070.116667410163.00.28188822.4161.281.023.91.81005.8
2021-10-01568061.2258061454228.0662615.02.194680725742.0728486.00.99623315.1754358407.066959.0502.053197238.01496.013906.00.910853513176792.070.116667412409.00.28359315.740.879.016.61.21013.5
2021-11-01647477.0333331453675.0663621.02.190520725406.0728269.00.99606915.2753811497.068244.0501.053197238.01496.013906.00.910853513176792.070.116667413117.00.2841888.941.776.08.41.21012.0
2021-12-01606093.6129031452251.0664417.02.185752724626.0727625.00.99587815.2814479720.069167.0503.053270030.01496.013906.00.910853513176792.070.116667408639.00.2813831.94.470.01.71.51017.1